How do AI agents find the right person instantly? We built a two-stage semantic search with HNSW + LATERAL JOIN + cubic scoring on PostgreSQL. Read the architecture breakdown:
The article discusses the development of a two-stage semantic search system designed to help AI agents find the right person quickly. It utilizes HNSW, LATERAL JOIN, and cubic scoring techniques on PostgreSQL. The architecture breakdown is shared for those interested in the technical details.
- ▪The system employs a two-stage semantic search methodology.
- ▪It incorporates HNSW and LATERAL JOIN for improved performance.
- ▪Cubic scoring is used to enhance the accuracy of the search results.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3915375) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Siyu Posted on May 16 How do AI agents find the right person instantly? We built a two-stage semantic search with HNSW + LATERAL JOIN + cubic scoring on PostgreSQL. Read the architecture breakdown: Sign in to view linked content Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use.
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